MATH 3005 Environmental Informatics
Credit Points 10
Legacy Code 301035
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Description Today, the environment is becoming more and more in the public eye. Methods of environmental monitoring and data analysis are an important source of information for science, business and government regulation. This subject aims to give students a good introduction to environmental informatics and the analysis of spatio-temporal data.
School Computer, Data & Math Sciences
Discipline Statistics
Student Contribution Band HECS Band 1 10cp
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Level Undergraduate Level 3 subject
Pre-requisite(s) MATH 1028 OR
MATH 1003 OR
MATH 1030
Learning Outcomes
On successful completion of this subject, students should be able to:
- Design an environmental sampling program
- Use and interpret control charts
- Estimate and interpret Tolerance and Prediction Intervals
- Use statistical software to conduct time series analyses
- Use statistical software to analyse spatial data
Subject Content
1. Environmental Sampling
2. Prediction and Tolerance Intervals
3. Control Charts
4. Time Series - Trend and Autocorrelation
5. Autoregressive and Moving Average Process
6. Models for Spatial Data
7. Modelling Spatial Correlation
Assessment
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
| Type | Length | Percent | Threshold | Individual/Group Task |
|---|---|---|---|---|
| Weekly Test (Best 8 from 10) | 15 mins for each of 10 weeks | 24 | N | Individual |
| Quizzes | 3 quizzes of 30 minutes each | 12 | N | Individual |
| Computer based Assignment - Data Analysis task | To consist of 10 or so pages of text and computer output, equivalent to approx. 2000 words | 14 | N | Group |
| Lab based exam | One exam of 2 hours | 50 | N | Individual |
Teaching Periods
Spring (2023)
Campbelltown
On-site
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Parramatta - Victoria Rd
On-site
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